Table 2 Top 20 informative genes across studies

From: Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks

Rank

Gene/ proteins

Average fraction of samples

# ROSMAP DLPFC samples

# MSBB PHG samples

1

MDK

0.84

118

65

2

APP

0.672

109

43

3

NTN1

0.62

92

45

4

GFAP

0.569

67

52

5

ICAM1

0.541

66

48

6

LTF

0.532

67

46

7

FLNA

0.466

33

56

8

CD44

0.46

43

49

9

APOE

0.459

54

42

10

IL1B

0.42

76

22

11

VGF

0.415

52

36

12

FLT1

0.39

68

22

13

PTN

0.382

48

33

14

IQGAP3

0.364

58

24

15

LGMN

0.35

59

21

16

GJA1

0.347

34

36

17

PRKCD

0.344

33

36

18

GIPR

0.34

58

20

19

TAC1

0.336

23

41

20

ADCYAP1

0.335

34

34

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